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SOTA
Gesichtspunkterkennung
Facial Landmark Detection On 300W
Facial Landmark Detection On 300W
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NME
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
NME
Paper Title
Repository
CNN-CRF (Inter-ocular Norm)
3.30
Deep Structured Prediction for Facial Landmark Detection
CFSS
5.76
Face Alignment Across Large Poses: A 3D Solution
-
D-ViT
2.85
Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection
-
3DDE (Inter-ocular Norm)
3.13
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
SAN GT
3.98
Style Aggregated Network for Facial Landmark Detection
FPN
-
FacePoseNet: Making a Case for Landmark-Free Face Alignment
Pose-Invariant
6.30
Pose-Invariant Face Alignment with a Single CNN
-
AnchorFace
3.12
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
CHR2C (Inter-ocular Norm)
3.3
Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks Detection
Adaloss
3.31
Adaloss: Adaptive Loss Function for Landmark Localization
SPIGA (Inter-ocular Norm)
2.99
Shape Preserving Facial Landmarks with Graph Attention Networks
DCFE (Inter-ocular Norm)
3.24
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
-
FiFA
2.89
Fiducial Focus Augmentation for Facial Landmark Detection
-
3DDFA
7.01
Face Alignment Across Large Poses: A 3D Solution
-
TS3
3.49
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
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